JongCheol Pyo

Assistant professor

Pusan National University

South Korea

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Articles (13)

Year:

2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (5)

Doyeon Kim

Korea Environment Institute

SOUTH KOREA

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Yongeun Park

Assistant Professor

Konkuk University

SOUTH KOREA

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SeongJoon Kim

Teaching and Research/Professor

Konkuk University

SOUTH KOREA

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Jinuk Kim

Konkuk University

SOUTH KOREA

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Heejong Son

SOUTH KOREA

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JongCheol Pyo

Research Interests

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Articles (13)

Deep learning-based super-resolution for harmful algal bloom monitoring of inland water

Developing a data-driven modeling framework for simulating a chemical accident in freshwater

Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system

Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level

Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach

Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir

Dynamic calibration of phytoplankton blooms using the modified SWAT model

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling

Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery

Generalization of U-Net Semantic Segmentation for Forest Change Detection in South Korea Using Airborne Imagery

A novel method for micropollutant quantification using deep learning and multi-objective optimization

Analysis of micropollutants in a marine outfall using network analysis and decision tree

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning

Collaborators (5)

Doyeon Kim

Yongeun Park

SeongJoon Kim

Jinuk Kim

Heejong Son

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